Mlearning.ai

FEBRUARY 18, 2023

Submission Suggestions Predictive Maintenance using Azure Machine Learning AutoML and Inference using Managed Online… was originally published in MLearning.ai setup environment env = Environment( name="automl-tabular-env", description="environment for automl inference", #image="mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20210727.v1",

Azure 52

Azure Machine Learning Machine Learning Clustering 52

Data Science 101

NOVEMBER 11, 2019

Microsoft Azure. Azure Arc You can now run Azure services anywhere (on-prem, on the edge, any cloud) you can run Kubernetes. Azure Synapse Analytics This is the future of data warehousing. AWS Parallel Cluster for Machine Learning AWS Parallel Cluster is an open-source cluster management tool.

Cloud Data 95

Cloud Data Data Science Azure Clustering 95

Data Science Dojo

JULY 17, 2023

Scikit-learn can be used for a variety of data analysis tasks, including: Classification Regression Clustering Dimensionality reduction Feature selection Leveraging Scikit-learn in data analysis projects Scikit-learn can be used in a variety of data analysis projects. RapidMiner was also used by the World Bank to develop a poverty index.

Data Analysis 195

Data Analysis Data Analysis Tableau Machine Learning 195

Data Science Blog

JUNE 30, 2023

The skill clusters are formed via the discipline of Topic Modelling , a method from unsupervised machine learning , which show the differences in the distribution of requirements between them. DATANOMIQ Jobskills Webapp The whole web app is hosted and deployed on the Microsoft Azure Cloud via CI/CD and Infrastructure as Code (IaC).

Data Engineering 130

Data Engineering Data Engineering Data Engineering Data Engineer 130

IBM Journey to AI blog

MAY 12, 2023

IBM’s recommendations included API-specific improvements, bot UX optimization, workflow optimization, DevOps microservices and design consideration, and best practices for Azure manage services.

Azure 98

Azure Database Clustering Data Visualization 98

Snorkel AI

MARCH 18, 2024

Through the Pegasus program, Snorkel has access to premier sales resources and technical assets to accelerate AI workloads including early access to Azure AI services, leading models from OpenAI and Mistral, and accelerated high-performance compute. Snorkel’s recent top tier ranking on the AlpacaEval 2.0 LLM leaderboard.

Azure 52

Azure AI AI Clustering 52

IBM Journey to AI blog

FEBRUARY 15, 2024

Autoscaling When traffic spikes, Kubernetes can automatically spin up new clusters to handle the additional workload. However, unlike VMs, Kubernetes orchestrates container interactions that transcend apps and clusters. This includes data in CI/CD pipelines (which feed into K8s clusters) and GitOps workflows (which power K8s clusters).

Clustering 94

Clustering Azure Data Visualization AWS 94

IBM Journey to AI blog

JANUARY 24, 2024

By creating the appropriate policies to merge clusters (even between vCenters® and data centers), virtual machines can be live migrated to their new destination. Once you’ve consolidated onto fewer hosts, you might want to move to fewer data centers, and potentially reduce your licensing costs.

Clustering 89

Clustering Azure AI AI 89

Mlearning.ai

JULY 9, 2023

I realized that the algorithm assumes that we like a particular genre and artist and groups us into these clusters, not letting us discover and experience new music. I then posted it on github built the app on Azure web pages. While scrolling through my recommended playlist.

Algorithm 52

Algorithm Azure Clustering ML 52

Dataconomy

APRIL 26, 2023

The strategic value of IoT development and data analytics Sierra Wireless Sierra Wireless , a wireless communications equipment designer and service provider, has been honing its focus on IoT software and managed services following its acquisition of M2M Group, a cluster of companies dedicated to IoT connectivity, in 2020.

Internet of Things 156

Internet of Things Azure AWS Cloud Computing 156

IBM Journey to AI blog

JULY 16, 2024

To ensure high availability and scalability, the mainframe is supported by a cluster of servers that work together to handle the bank’s computing needs. In addition to its mainframe, the bank has a strong relationship with Microsoft and leverages Microsoft Azure cloud platform to extend its IT infrastructure.

Azure 40

Azure Clustering AI AI 40

DataRobot

JUNE 16, 2021

The MLOps Management Agent provides a framework to automate the entire model deployment lifecycle in any environment or infrastructure such as Azure, GCP, AWS, or your own on-premise Kubernetes cluster. See It Live: Kubernetes Deployment on Azure. A Standardized Lifecycle Management Framework.

Azure 52

Azure Data Science Clustering AWS 52

ODSC - Open Data Science

JULY 22, 2023

On Wednesday, Henk Boelman, Senior Cloud Advocate at Microsoft, spoke about the current landscape of Microsoft Azure, as well as some interesting use cases and recent developments. Keynotes Our main keynote sessions were held on the virtual side of the conference. You can read the recap here and watch the full keynote here.

Apache Kafka 52

Apache Kafka Machine Learning Machine Learning Data Science 52

Smart Data Collective

JUNE 4, 2021

Clustering (Unsupervised). With Clustering the data is divided into groups. By applying clustering based on distance, the villages are divided into groups. The center of each cluster is the optimal location for setting up health centers. The center of each cluster is the optimal location for setting up health centers.

Data Science 103

Data Science Exploratory Data Analysis Machine Learning Machine Learning 103

Mlearning.ai

MAY 23, 2023

Check out this course to upskill on Apache Spark —  [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus. Additionally, knowledge of model evaluation, hyperparameter tuning, and model selection is valuable.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Data Science Dojo

FEBRUARY 20, 2023

It provides a large cluster of clusters on a single machine. AWS SageMaker is useful for creating basic models, including regression, classification, and clustering. Microsoft Azure Machine Learning Microsoft Azure Machine Learning is a set of tools for creating, managing, and analyzing models.

Machine Learning 195

Machine Learning Machine Learning AWS Azure 195

ODSC - Open Data Science

FEBRUARY 17, 2023

TensorFlow is desired for its flexibility for ML and neural networks, PyTorch for its ease of use and innate design for NLP, and scikit-learn for classification and clustering. AWS Cloud, Azure Cloud, and others are all compatible with many other frameworks and languages, making them necessary for any NLP skill set.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Towards AI

JULY 17, 2023

The Good — Ease of use The key differentiator of Google Colab is its ease of use; the distance from starting a Colab notebook to utilizing a fully working TPUs cluster is super short. Colab's common usage flow relies heavily on G-Drive integration, making complicated actions like authorization almost seamless.

Machine Learning 65

Machine Learning Machine Learning Data Analysis Data Analysis 65

Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud.

Data Science 195

Data Science Machine Learning Machine Learning Data Visualization 195

Smart Data Collective

AUGUST 27, 2020

Another option is the environment variable KUBECONFIG=<path-to-kubeconfig> – This is used by OC/Kubectl to set context while working with the cluster Webhook installation – One installation is needed for each Akeyless account. As such, cluster admins can peer into the secrets kept by tenants.

Clustering 89

Clustering Database Azure AWS 89

Mlearning.ai

FEBRUARY 16, 2023

The solution was built on top of Amazon Web Services and is now available on Google Cloud and Microsoft Azure. Multi-Cloud Options You can host Snowflake on numerous popular cloud platforms, including Microsoft Azure, Google Cloud, and Amazon Web Services. Therefore, the tool is referred to as cloud-agnostic. What does Snowflake do?

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Mlearning.ai

APRIL 1, 2023

type=float) parser.add_argument("--registered_model_name", type=str, help="model name") parser.add_argument("--model", type=str, help="path to model file") args = parser.parse_args() #current_experiment = Run.get_context().experiment py38-cpu/versions/4 #azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1

AI 40

AI AI Azure Clustering 40

ODSC - Open Data Science

APRIL 21, 2023

Keynotes Infuse Generative AI in your apps using Azure OpenAI Service As you know, businesses are always looking for ways to improve efficiency and reduce risk, and one way they’re achieving this is through the integration of large language models. Present your innovative solution to both a live audience and a panel of judges.

AI 52

AI AI Azure Algorithm 52

Pickl AI

JULY 6, 2023

It acts as a catalogue, providing information about the structure and location of the data. · Hive Query Processor It translates the HiveQL queries into a series of MapReduce jobs. · Hive Execution Engine It executes the generated query plans on the Hadoop cluster. It manages the execution of tasks across different environments.

Hadoop 52

Hadoop SQL Big Data Big Data 52

ODSC - Open Data Science

NOVEMBER 20, 2023

Bridging the gap between accuracy and simplicity, this hybrid method offers the precise identification of customer groups created by machine learning clustering methods and the simple business profiles yielded by rules-based segmentation methods.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Data Scientist 52

phData

MARCH 22, 2024

Iceberg tables in Snowflake Data Cloud are a new type of table where the actual data is stored outside Snowflake in a public cloud object storage location (Amazon S3, Google Cloud Storage, or Azure Storage) in Apache Iceberg table format which can be accessed by Snowflake using objects called external volume and catalog integration.

SQL 52

SQL AWS Database Data Lakes 52

Mlearning.ai

JUNE 23, 2023

Vector DB Options Open Source (free): Chroma DB FAISS — by Facebook Postgres Milvus Weaviate Closed Source (paid): Pinecone Elastic Search Azure Cognitive Search AWS Open Search GCP — Vertex AI — Matching Engine Real-Time Applications of Vector DB: Similarity search Recommendation engines Topic clustering Knowledge Base engines and in any real-time (..)

Database 52

Database ML ML Natural Language Processing 52

Hacker News

NOVEMBER 14, 2023

Technology teams demanded that BackEnd be built in Microsoft Azure Pipelines, to comply with “Strategic Vision”. SMEs can ensure that software is developed properly in a modular fashion and doesn’t end up as a cluster of barely working technologies loosely linked together. Technology teams rarely relinquish control to business teams.

Power BI 116

Power BI Database Algorithm Azure 116

ODSC - Open Data Science

JANUARY 29, 2024

These outputs, stored in vector databases like Weaviate, allow Prompt Enginers to directly access these embeddings for tasks like semantic search, similarity analysis, or clustering.

Data Science 52

Data Science Machine Learning Machine Learning AI 52

Mlearning.ai

JULY 25, 2023

After completed these case studies and participating in the recent rapid advancement of Data Science technologies, especially learning how to do Data Science on many cloud platforms (Azure, AWS, GCP, a little IBM).

Data Science 52

Data Science Clustering Analytics Analytics 52

Pickl AI

APRIL 26, 2024

Then, I would use clustering techniques such as k-means or hierarchical clustering to group customers based on similarities in their purchasing behaviour. Have you worked with cloud-based data platforms like AWS, Google Cloud, or Azure? You’re tasked with predicting sales for a retail store. What approach would you take?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Hacker News

NOVEMBER 12, 2023

Microsoft’s cloud computing arm, Azure, tested a system of the exact same size and were behind Eos by mere seconds. Azure powers GitHub’s coding assistant CoPilot and OpenAI’s ChatGPT.) We delivered more than what was promised—a 103 percent reduction in time-to-train for a 384-accelerator cluster.”

AI 180

AI AI Cloud Computing Azure 180

Smart Data Collective

AUGUST 29, 2019

A lot of these jobs used to be clustered in the United States, but a growing number of big data careers are opening up in the UK as well. With courses that cover areas from Microsoft’s Azure platform to Hadoop, EDX has a course for almost every big data specialty. The market for big data is growing rapidly.

Big Data 74

Big Data Big Data Big Data Analytics Big Data Analytics 74

Pickl AI

JULY 25, 2023

These models may include regression, classification, clustering, and more. Cloud Platforms: AWS, Azure, Google Cloud, etc. Model Development Data Scientists develop sophisticated machine-learning models to derive valuable insights and predictions from the data. ETL Tools: Apache NiFi, Talend, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Mlearning.ai

JUNE 28, 2023

This extensive repertoire includes classification, regression, clustering, natural language processing, and anomaly detection. By harnessing the power of these foundational libraries, PyCaret unifies the interface, providing a cohesive platform for an array of machine learning tasks.

Machine Learning 52

Machine Learning Machine Learning Data Preparation Data Science 52

Data Science 101

OCTOBER 12, 2023

I mostly use U-SQL, a mix between C# and SQL that can distribute in very large clusters. Once the data is processed I do machine learning: clustering, topic finding, extraction, and classification. So you use a lot of the Azure tools in your job? It’s petabytes of data, so a lot of my time is spent processing it.

Azure 64

Azure Computer Science Computer Science Clustering 64

Pickl AI

SEPTEMBER 18, 2024

Algorithm and Model Development Understanding various Machine Learning algorithms—such as regression , classification , clustering , and neural networks —is fundamental. Tools like pandas and SQL help manipulate and query data , while libraries such as matplotlib and Seaborn are used for data visualisation.

Machine Learning 52

Machine Learning Machine Learning Algorithm Natural Language Processing 52